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From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
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Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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Citation Handling for Improved Summarization of Scientific Documents
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Abstract:
In this paper we present the first steps toward improving summarization of scientific documents through citation analysis and parsing. Prior work (Mohammad et al., 2009) argues that citation texts (sentences that cite other papers) play a crucial role in automatic summarization of a topical area, but did not take into account the noise introduced by the citations themselves. We demonstrate that it is possible to improve summarization output through careful handling of these citations. We base our experiments on the application of an improved trimming approach to summarization of citation texts extracted from Question-Answering and Dependency-Parsing documents. We demonstrate that confidence scores from the Stanford NLP Parser (Klein and Manning, 2003) are significantly improved, and that Trimmer (Zajic et al., 2007), a sentence-compression tool, is able to generate higher-quality candidates. Our summarization output is currently used as part of a larger system, Action Science Explorer (ASE) (Gove, 2011).
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URL: http://hdl.handle.net/1903/11822
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Measuring Variability in Sentence Ordering for News Summarization
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Challenges in Building an Arabic-English GHMT System with SMT Components
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Construction of a Chinese-English Verb Lexicon for Embedded Machine Translation in Cross-Language Information Retrieval
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Domain-Specific Term-List Expansion Using Existing Linguistic Resources
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Constraints on the Generation of Tense, Aspect, and Connecting Words from Temporal Expressions
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Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy Machine Translation
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Handling Translation Divergences in Generation-Heavy Hybrid Machine Translation
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Efficient Language Independent Generation from Lexical Conceptual Structures
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Lexical Resource Integration across the Syntax-Semantics Interface
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Mapping Lexical Entries in a Verbs Database to WordNet Senses
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Large Scale Language Independent Generation Using Thematic Hierarchies
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